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Journal Articles
- 2024
[j29]Masato Kobayashi, Yusuke Hirota, Shuhei Kudo, Takeo Hoshi, Yusaku Yamamoto
:
Automatic performance tuning using the ATMathCoreLib tool: Two experimental studies related to dense symmetric eigensolvers. Concurr. Comput. Pract. Exp. 36(10) (2024)- [j28]Shuhei Kudo, Yusaku Yamamoto, Takeo Hoshi:
A fast and efficient computation method for reflective diffraction simulations. Comput. Phys. Commun. 296: 109029 (2024) - 2022
- [j27]Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi:
Performance prediction of massively parallel computation by Bayesian inference. JSIAM Lett. 14: 13-16 (2022) - [j26]Yusaku Yamamoto, Shuhei Kudo, Takeo Hoshi:
Error analysis of the truncated Taylor series expansion method for computing matrix exponential. JSIAM Lett. 14: 147-150 (2022) - [j25]Gabriel Oksa, Yusaku Yamamoto, Marián Vajtersic:
Convergence to Singular Triplets in the Two-Sided Block-Jacobi SVD Algorithm with Dynamic Ordering. SIAM J. Matrix Anal. Appl. 43(3): 1238-1262 (2022) - 2021
- [j24]Masaki Kugaya, Shuhei Kudo, Yusaku Yamamoto:
Combinatorial preconditioning for accelerating the convergence of the parallel block Jacobi method for the symmetric eigenvalue problem. JSIAM Lett. 13: 56-59 (2021) - [j23]Akemi Shioya, Yusaku Yamamoto:
Block red-black MILU(0) preconditioner with relaxation on GPU. Parallel Comput. 103: 102760 (2021) - 2020
- [j22]Shuhei Kudo, Yusaku Yamamoto, Toshiyuki Imamura:
Error Analysis of the Cholesky QR-Based Block Orthogonalization Process for the One-Sided Block Jacobi SVD Algorithm. Comput. Informatics 39(6) (2020) - [j21]Kurumi Shiroma, Yusaku Yamamoto:
Fixed-point analysis of Ogita-Aishima's symmetric eigendecomposition refinement algorithm for multiple eigenvalues. JSIAM Lett. 12: 5-8 (2020) - [j20]Takeshi Fukaya, Ramaseshan Kannan, Yuji Nakatsukasa, Yusaku Yamamoto, Yuka Yanagisawa:
Shifted Cholesky QR for Computing the QR Factorization of Ill-Conditioned Matrices. SIAM J. Sci. Comput. 42(1): A477-A503 (2020) - 2019
- [j19]Hiroaki Seito, Takeo Hoshi, Yusaku Yamamoto:
On using the shifted minimal residual method for quantum-mechanical wave packet simulation. JSIAM Lett. 11: 13-16 (2019) - [j18]Gabriel Oksa, Yusaku Yamamoto, Martin Becka, Marián Vajtersic:
Asymptotic Quadratic Convergence of the Two-Sided Serial and Parallel Block-Jacobi SVD Algorithm. SIAM J. Matrix Anal. Appl. 40(2): 639-671 (2019) - 2018
- [j17]Shuhei Kudo, Kousuke Yasuda, Yusaku Yamamoto:
Performance of the parallel block Jacobi method with dynamic ordering for the symmetric eigenvalue problem. JSIAM Lett. 10: 41-44 (2018) - 2017
- [j16]Shuhei Kudo, Yusaku Yamamoto, Martin Becka, Marián Vajtersic:
Performance analysis and optimization of the parallel one-sided block Jacobi SVD algorithm with dynamic ordering and variable blocking. Concurr. Comput. Pract. Exp. 29(9) (2017) - [j15]Yusaku Yamamoto, Shuhei Kudo:
Probabilistic analysis of an estimator for the Frobenius norm of a matrix product. JSIAM Lett. 9: 9-12 (2017) - [j14]Gabriel Oksa, Yusaku Yamamoto, Marián Vajtersic:
Asymptotic quadratic convergence of the serial block-Jacobi EVD algorithm for Hermitian matrices. Numerische Mathematik 136(4): 1071-1095 (2017) - 2016
- [j13]Yusaku Yamamoto, Yuji Nakatsukasa, Yuka Yanagisawa, Takeshi Fukaya:
Roundoff error analysis of the CholeskyQR2 algorithm in an oblique inner product. JSIAM Lett. 8: 5-8 (2016) - 2015
- [j12]Sho Araki, Kinji Kimura, Yusaku Yamamoto, Yoshimasa Nakamura:
Implementation details of an extended oqds algorithm for singular values. JSIAM Lett. 7: 9-12 (2015) - [j11]Takumi Yamashita, Kinji Kimura, Yusaku Yamamoto:
A new subtraction-free formula for lower bounds of the minimal singular value of an upper bidiagonal matrix. Numer. Algorithms 69(4): 893-912 (2015) - 2014
- [j10]Yusaku Yamamoto, Lan Zhang, Shuhei Kudo:
Convergence analysis of the parallel classical block Jacobi method for the symmetric eigenvalue problem. JSIAM Lett. 6: 57-60 (2014) - 2012
- [j9]Akiko Fukuda, Yusaku Yamamoto, Masashi Iwasaki, Emiko Ishiwata, Yoshimasa Nakamura:
Error analysis for matrix eigenvalue algorithm based on the discrete hungry Toda equation. Numer. Algorithms 61(2): 243-260 (2012) - 2011
- [j8]Jun-ichi Muramatsu, Takeshi Fukaya, Shao-Liang Zhang, Kinji Kimura, Yusaku Yamamoto:
Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment. Int. J. Netw. Comput. 1(2): 132-143 (2011) - [j7]Yusuke Hirota, Yusaku Yamamoto, Shao-Liang Zhang:
Cache optimization of a non-orthogonal joint diagonalization method. JSIAM Lett. 3: 9-12 (2011) - [j6]Yusaku Yamamoto, Yusuke Hirota:
A parallel algorithm for incremental orthogonalization based on the compact WY representation. JSIAM Lett. 3: 89-92 (2011) - 2010
- [j5]Yusaku Yamamoto, Takeshi Fukaya:
Differential qd algorithm for totally nonnegative Hessenberg matrices: introduction of origin shifts and relationship with the discrete hungry Lotka-Volterra system. JSIAM Lett. 2: 69-72 (2010) - 2009
- [j4]Takafumi Miyata, Yusaku Yamamoto, Shao-Liang Zhang:
A Fully Pipelined Multishift QR Algorithm for Parallel Solution of Symmetric Tridiagonal Eigenproblems. Inf. Media Technol. 4(2): 350-363 (2009) - [j3]Yusaku Yamamoto, Takeshi Fukaya:
Differential qd algorithm for totally nonnegative band matrices: convergence properties and error analysis. JSIAM Lett. 1: 56-59 (2009) - 2008
- [j2]Yusaku Yamamoto:
Equality conditions for lower bounds on the smallest singular value of a bidiagonal matrix. Appl. Math. Comput. 200(1): 254-260 (2008) - 2003
- [j1]Mark Broadie, Yusaku Yamamoto:
Application of the Fast Gauss Transform to Option Pricing. Manag. Sci. 49(8): 1071-1088 (2003)
Conference and Workshop Papers
- 2024
- [c21]Koushi Teramoto, Masaki Kugaya, Shuhei Kudo, Yasuhiko Takenaga, Yusaku Yamamoto:
Approximate Block Diagonalization of Symmetric Matrices Using Quantum Annealing. HPC Asia 2024: 47-54 - [c20]Takeshi Fukaya, Yuji Nakatsukasa, Yusaku Yamamoto:
A Cholesky QR type algorithm for computing tall-skinny QR factorization with column pivoting. IPDPS 2024: 63-75 - 2022
- [c19]Masato Kobayashi, Shuhei Kudo, Takeo Hoshi, Yusaku Yamamoto:
Automatic Code Selection for the Dense Symmetric Generalized Eigenvalue Problem Using ATMathCoreLib. PPAM (1) 2022: 453-463 - 2018
- [c18]Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto:
A Case Study on Modeling the Performance of Dense Matrix Computation: Tridiagonalization in the EigenExa Eigensolver on the K Computer. IPDPS Workshops 2018: 1113-1122 - 2017
- [c17]Shuhei Kudo, Yusaku Yamamoto:
On Using the Cholesky QR Method in the Full-Blocked One-Sided Jacobi Algorithm. PPAM (1) 2017: 612-622 - 2016
- [c16]Seiji Nagashima, Takeshi Fukaya, Yusaku Yamamoto:
On Constructing Cost Models for Online Automatic Tuning Using ATMathCoreLib: Case Studies through the SVD Computation on a Multicore Processor. MCSoC 2016: 345-352 - 2015
- [c15]Yusaku Yamamoto, Weichung Wang:
iWAPT Introduction and Committees. IPDPS Workshops 2015: 1200-1201 - [c14]Shuhei Kudo, Yusaku Yamamoto, Martin Becka, Marián Vajtersic:
Performance of the Parallel One-Sided Block Jacobi SVD Algorithm on a Modern Distributed-Memory Parallel Computer. PPAM (1) 2015: 594-604 - 2014
- [c13]Takeshi Fukaya, Yuji Nakatsukasa, Yuka Yanagisawa, Yusaku Yamamoto:
CholeskyQR2: a simple and communication-avoiding algorithm for computing a tall-skinny QR factorization on a large-scale parallel system. ScalA@SC 2014: 31-38 - [c12]Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto:
Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection. VECPAR 2014: 269-283 - 2010
- [c11]Jun-ichi Muramatsu, Shao-Liang Zhang, Yusaku Yamamoto:
Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems Using GPU. ICNC 2010: 215-219 - [c10]Takafumi Miyata, Yusaku Yamamoto, Shao-Liang Zhang:
Performance Modeling of Multishift QR Algorithms for the Parallel Solution of Symmetric Tridiagonal Eigenvalue Problems. ICA3PP (2) 2010: 401-412 - 2008
- [c9]Takeshi Amako, Yusaku Yamamoto, Shao-Liang Zhang:
A large-grained parallel algorithm for nonlinear eigenvalue problems and its implementation using OmniRPC. CLUSTER 2008: 42-49 - [c8]Takeshi Fukaya, Yusaku Yamamoto, Shao-Liang Zhang:
A dynamic programming approach to optimizing the blocking strategy for the Householder QR decomposition. CLUSTER 2008: 402-410 - 2007
- [c7]Yusaku Yamamoto, Takeshi Fukaya, Takashi Uneyama, Masami Takata, Kinji Kimura, Masashi Iwasaki, Yoshimasa Nakamura:
Accelerating the Singular Value Decomposition of Rectangular Matrices with the CSX600 and the Integrable SVD. PaCT 2007: 340-345 - 2006
- [c6]Yusaku Yamamoto:
Efficient parallel implementation of a weather derivatives pricing algorithm based on the fast Gauss transform. IPDPS 2006 - [c5]Yusaku Yamamoto:
Performance Modeling and Optimal Block Size Selection for the Small-Bulge Multishift QR Algorithm. ISPA 2006: 451-463 - 2005
- [c4]Yusaku Yamamoto:
An Efficient and Easily Parallelizable Algorithm for Pricing Weather Derivatives. LSSC 2005: 470-477 - 2003
- [c3]Yusaku Yamamoto, Mitsuyoshi Igai, Ken Naono:
A Vector-Parallel FFT with a User-Specificable Data Distribution Scheme. ISPA 2003: 362-374 - 2000
- [c2]Ken Naono, Yusaku Yamamoto, Mitsuyoshi Igai, Hiroyuki Hirayama, Nobuhiro Ioki:
A Multi-color Inverse Iteration for a High Performance Real Symmetric Eigensolver (Research Note). Euro-Par 2000: 527-531 - 1999
- [c1]Yusaku Yamamoto, Ken Naono, Sigeo Ihara:
A New M-Sequence Based Parallel Random Number Generator with Reduced Correlation. PP 1999
Parts in Books or Collections
- 2019
- [p2]Yusaku Yamamoto:
High-Performance Algorithms for Numerical Linear Algebra. The Art of High Performance Computing for Computational Science, Vol. 1 2019: 113-136 - 2010
- [p1]Yusaku Yamamoto, Takeshi Fukaya:
Dynamic Programming Approaches to Optimizing the Blocking Strategy for Basic Matrix Decompositions. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 69-85
Informal and Other Publications
- 2023
- [i6]Shuhei Kudo, Yusaku Yamamoto, Takeo Hoshi:
A fast and accurate computation method for reflective diffraction simulations. CoRR abs/2306.00271 (2023) - [i5]Tomoya Miyashita, Shuhei Kudo, Yusaku Yamamoto:
Roundoff error analysis of the double exponential formula-based method for the matrix sign function. CoRR abs/2309.17228 (2023) - 2021
- [i4]Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi:
Performance prediction of massively parallel computation by Bayesian inference. CoRR abs/2110.14545 (2021) - 2020
- [i3]Tsubasa Sakai, Shuhei Kudo, Hiroto Imachi, Yuto Miyatake, Takeo Hoshi, Yusaku Yamamoto:
A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics. CoRR abs/2003.04345 (2020) - 2019
- [i2]Kurumi Shiroma, Yusaku Yamamoto:
Fixed-point analysis of Ogita-Aishima's symmetric eigendecomposition refinement algorithm for multiple eigenvalues. CoRR abs/1909.13709 (2019) - 2017
- [i1]Yusaku Yamamoto:
On the optimality and sharpness of Laguerre's lower bound on the smallest eigenvalue of a symmetric positive definite matrix. CoRR abs/1702.00108 (2017)
Coauthor Index
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